Comparison Overview
Elevadores Otis
Elevadores Otis
Rua Elisha Otis 841, São Bernardo do Campo, São Paulo, 09852, BR
Last Update: 20/12/2025
A Otis é a maior companhia do mundo em fabricação e prestação de serviços para produtos que movem pessoas, incluindo elevadores, escadas e esteiras rolantes. Fundada há mais de 165 anos pelo inventor do elevador de segurança, a Otis oferece produtos e serviços em mais d...
GEA Group
Ulmenstraße 99, Düsseldorf, 40476, DE
Last Update: 07/09/2026
GEA is one of the largest technology suppliers for food processing and a wide range of other industries. The global group specializes in machinery, plants, as well as process technology and components. GEA provides resource-efficient solutions for sophisticated product...
Compliance Ranges Comparison
Elevadores Otis
GEA Group
Benchmark & Cyber Underwriting Signals
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Elevadores Otis in 2026.
Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for GEA Group in 2026.
Incident History - Elevadores Otis (X = Date, Y = Severity)
Elevadores Otis cyber incidents detection timeline including parent company and subsidiaries.
Incident History - GEA Group (X = Date, Y = Severity)
GEA Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Elevadores Otis
GEA Group
FAQ
Latest Global CVEs
vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker restarts.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/push_worker.py#L162-L181
- https://github.com/vllm-project/vllm/pull/55677
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-rejected-requests
redis-parser through 3.0.0 contains a denial of service vulnerability in the RESP protocol parser that allows malicious Redis endpoints to crash the client process through unbounded recursion on nested arrays. Attackers can send crafted RESP byte streams with repeated array headers that exhaust the V8 call stack, causing an uncaught RangeError that terminates the Node.js process without triggering error handling callbacks.
- https://github.com/NodeRedis/node-redis-parser
- https://github.com/NodeRedis/node-redis-parser/blob/701655430f5f7d9ca00892a02f7eefcbc1193a98/lib/parser.js#L204-L213
- https://github.com/NodeRedis/node-redis-parser/blob/701655430f5f7d9ca00892a02f7eefcbc1193a98/lib/parser.js#L291-L306
- https://github.com/redis/ioredis/issues/2108
- https://www.vulncheck.com/advisories/redis-parser-through-3.0.0-denial-of-service-via-unbounded-recursion
Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Cosmos DB allows an authorized attacker to elevate privileges over a network.
Server-side request forgery (ssrf) in Azure AI Foundry allows an unauthorized attacker to elevate privileges over a network.
Missing authentication for critical function in Azure AI Foundry allows an unauthorized attacker to elevate privileges over a network.